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青少年重度抑郁症的代谢特征:难治性抑郁症与首发未用药抑郁症的比较研究。

Metabolic features of adolescent major depressive disorder: A comparative study between treatment-resistant depression and first-episode drug-naive depression.

作者信息

Gan Xieyu, Li Xuemei, Cai Yuping, Yin Bangmin, Pan Qiyuan, Teng Teng, He Yuqian, Tang Han, Wang Ting, Li Jie, Zhu Zhengjiang, Zhou Xinyu, Li Jinfang

机构信息

Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

出版信息

Psychoneuroendocrinology. 2024 Sep;167:107086. doi: 10.1016/j.psyneuen.2024.107086. Epub 2024 May 22.

Abstract

Major depressive disorder (MDD) is a psychiatric illness that can jeopardize the normal growth and development of adolescents. Approximately 40% of adolescent patients with MDD exhibit resistance to conventional antidepressants, leading to the development of Treatment-Resistant Depression (TRD). TRD is associated with severe impairments in social functioning and learning ability and an elevated risk of suicide, thereby imposing an additional societal burden. In this study, we conducted plasma metabolomic analysis on 53 adolescents diagnosed with first-episode drug-naïve MDD (FEDN-MDD), 53 adolescents with TRD, and 56 healthy controls (HCs) using hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) and reversed-phase liquid chromatography-mass spectrometry (RPLC-MS). We established a diagnostic model by identifying differentially expressed metabolites and applying cluster analysis, metabolic pathway analysis, and multivariate linear support vector machine (SVM) algorithms. Our findings suggest that adolescent TRD shares similarities with FEDN-MDD in five amino acid metabolic pathways and exhibits distinct metabolic characteristics, particularly tyrosine and glycerophospholipid metabolism. Furthermore, through multivariate receiver operating characteristic (ROC) analysis, we optimized the area under the curve (AUC) and achieved the highest predictive accuracy, obtaining an AUC of 0.903 when comparing FEDN-MDD patients with HCs and an AUC of 0.968 when comparing TRD patients with HCs. This study provides new evidence for the identification of adolescent TRD and sheds light on different pathophysiologies by delineating the distinct plasma metabolic profiles of adolescent TRD and FEDN-MDD.

摘要

重度抑郁症(MDD)是一种精神疾病,会危及青少年的正常生长发育。大约40%的青少年MDD患者对传统抗抑郁药有抗性,导致难治性抑郁症(TRD)的发生。TRD与社会功能和学习能力的严重损害以及自杀风险升高相关,从而带来额外的社会负担。在本研究中,我们使用亲水相互作用液相色谱 - 质谱联用(HILIC - MS)和反相液相色谱 - 质谱联用(RPLC - MS)技术,对53名被诊断为首发未用药的青少年MDD(FEDN - MDD)患者、53名TRD青少年患者和56名健康对照(HC)进行了血浆代谢组学分析。我们通过识别差异表达的代谢物并应用聚类分析、代谢途径分析和多元线性支持向量机(SVM)算法建立了诊断模型。我们的研究结果表明,青少年TRD在五个氨基酸代谢途径上与FEDN - MDD有相似之处,并表现出独特的代谢特征,特别是酪氨酸和甘油磷脂代谢。此外,通过多元受试者工作特征(ROC)分析,我们优化了曲线下面积(AUC)并实现了最高预测准确性,在比较FEDN - MDD患者与HC时AUC为0.903,在比较TRD患者与HC时AUC为0.968。本研究为青少年TRD的识别提供了新证据,并通过描绘青少年TRD和FEDN - MDD不同的血浆代谢谱,揭示了不同的病理生理学机制。

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